AI-LAB Federated Learning to Expand AI Opportunities to More Radiologists
November 16, 2021
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Kendall Schmidt
Radiologists can now get involved and develop expertise by registering their sites to take part in the ACR DSI AI federated learning program on AI-LAB...
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AI Transparency: Why We Should Label Algorithms Like Food ProductsOctober 20, 2021 | Mark Sendak; Christopher Roth; Suresh BaluWhat if radiologists asked algorithm creators “Where can we find the product label and instruction manual, so that what’s inside the packa...
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The Seemingly Simple Task of Exploring FDA-Cleared Algorithms for Medical ImagingFebruary 1, 2021 | Sheela AgarwalIf you are thinking about purchasing an AI product, the ACR DSI catalog is a great place to start but you will still have some homework ahead of you.
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DSI’s AI Survey Shows ACR Tools in Sync with Member Needs for Deploying AIJune 9, 2021 | Bibb AllenWhile a modest amount of AI is currently in clinical practice, many members plan to purchase AI soon, making ACR’s support valuable for AI integ...
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An Essential Roadmap for AI in RadiologyJuly 7, 2022 | Valeria Makeeva, MDThe 2022 Data Science Summit delved into the complex relationship between AI expectations and strategies for successful AI implementation.
Implementing Your AI and Informatics Strategic Road MapSeptember 17, 2021 | Juan C. Batlle, MD, MBAAttending the ACR Imaging Informatics Summit will help you take your organization’s informatics projects from concept to reality.
DSI’s AI Survey Shows ACR Tools in Sync with Member Needs for Deploying AIJune 9, 2021 | Bibb Allen Jr., MD, FACRWhile a modest amount of AI is currently in clinical practice, many members plan to purchase AI soon, making ACR’s support valuable for AI integ...
Don't Be Afraid to Talk to Medical Students About AIMarch 15, 2021 | Bibb Allen Jr., MD, FACRMedical students today want to hear radiology’s value proposition in an AI-enabled era. We must be prepared to explain why radiology is a solid ...
Democratizing AIDecember 15, 2020 | Dan Cohen-Addad, MDA multi-site federated learning approach to AI algorithm training can protect patient privacy and help make AI development more generalizable to wides...
The Buzz AI Is Beating Doctors Is Trendy But FalseJanuary 22, 2020 | Bibb Allen Jr., MD, FACRThe argument that AI will soon replace radiologists is trendy, but it doesn’t hold up under scrutiny. AI will enhance the value we provide to pa...
AI Has the Potential to Elevate the Way We PracticeSeptember 10, 2019 | Amy Patel, MDFor radiologists to be present, fairly valued, and more patient-facing, we must embrace the new technology that is shaping a changing imaging landscap...
4 Reasons to Attend the Imaging Informatics SummitAugust 19, 2019 | Christopher Roth, MD, MMCiAn unofficial guide to what you'll learn at the Informatics Summit from those who are developing and using AI in clinical care and hospital operations...
What Medical Students See in AIJune 11, 2019 | Ayis Pyrros, MDYounger generations are generally willing to embrace new technology like artificial intelligence. For better or worse, AI will be shaped by them.
Assessing and Measuring the Usability of AI in Clinical EnvironmentsJanuary 10, 2019 | Bibb Allen Jr., MD, FACRHow can institutions, vendors, and physicians work together to implement AI algorithms that have been critically assessed in routine clinical practice...
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Radiology and Precision MedicineDecember 13, 2018 | J. Raymond Geis, MDRadiomics may one day improve precision medicine through the clinical assessment of tumors and other diseases.
AI Use Cases with Clinical PromiseOctober 16, 2018 | Bibb Allen Jr., MD, FACRThese first-of-their-kind use cases are building a framework to facilitate the development and implementation of AI applications that are poised to he...